Object Recognition

Object recognition is a computer vision technique for detecting + classifying objects in images or videos. Since this is a combined task of object detection plus image classification, the state-of-the-art tables are recorded for each component task here and here.

( Image credit: Tensorflow Object Detection API )

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 101–125 of 2042 papers

Title	Date	Tasks	Status	Hype	Score
AdaNorm: Adaptive Gradient Norm Correction based Optimizer for CNNs	Oct 12, 2022	Object Recognition	CodeCode Available	1	5
Computing the Testing Error Without a Testing Set	Jun 1, 2020	Object RecognitionSemantic Segmentation	CodeCode Available	1	5
Benchmarking Multimodal Mathematical Reasoning with Explicit Visual Dependency	Apr 24, 2025	BenchmarkingMath	CodeCode Available	1	5
Convolutional Neural Networks with Gated Recurrent Connections	Jun 5, 2021	object-detectionObject Detection	CodeCode Available	1	5
Contributions of Shape, Texture, and Color in Visual Recognition	Jul 19, 2022	AttributeGeneral Classification	CodeCode Available	1	5
Domain Generalization for Object Recognition with Multi-task Autoencoders	Aug 31, 2015	DenoisingDomain Generalization	CodeCode Available	1	5
Adapting Self-Supervised Vision Transformers by Probing Attention-Conditioned Masking Consistency	Jun 16, 2022	Domain AdaptationObject Recognition	CodeCode Available	1	5
COTR: Compact Occupancy TRansformer for Vision-based 3D Occupancy Prediction	Dec 4, 2023	3D geometryAutonomous Driving	CodeCode Available	1	5
CREST: An Efficient Conjointly-trained Spike-driven Framework for Event-based Object Detection Exploiting Spatiotemporal Dynamics	Dec 17, 2024	Objectobject-detection	CodeCode Available	1	5
CSIM: A Copula-based similarity index sensitive to local changes for Image quality assessment	Oct 2, 2024	AstronomyImage Quality Assessment	CodeCode Available	1	5
Attribution in Scale and Space	Apr 3, 2020	AttributeObject Recognition	CodeCode Available	1	5
Doubly Right Object Recognition: A Why Prompt for Visual Rationales	Dec 12, 2022	Object Recognition	CodeCode Available	1	5
DaWin: Training-free Dynamic Weight Interpolation for Robust Adaptation	Oct 3, 2024	Multi-Task LearningObject Recognition	CodeCode Available	1	5
Debiased Self-Training for Semi-Supervised Learning	Feb 15, 2022	Object RecognitionScene Classification	CodeCode Available	1	5
Decoding Natural Images from EEG for Object Recognition	Aug 25, 2023	Contrastive LearningEEG	CodeCode Available	1	5
Leveraging MLLM Embeddings and Attribute Smoothing for Compositional Zero-Shot Learning	Nov 18, 2024	AttributeCompositional Zero-Shot Learning	CodeCode Available	1	5
A Study of Face Obfuscation in ImageNet	Mar 10, 2021	AttributeObject	CodeCode Available	1	5
Brain-Score: Which Artificial Neural Network for Object Recognition is most Brain-Like?	Jan 2, 2020	Object Recognition	CodeCode Available	1	5
Deep Gaze I: Boosting Saliency Prediction with Feature Maps Trained on ImageNet	Nov 4, 2014	Object RecognitionPoint Processes	CodeCode Available	1	5
Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks	Feb 17, 2023	DeblurringDeep Learning	CodeCode Available	1	5
Adaptive Subspaces for Few-Shot Learning	Jun 1, 2020	Few-Shot Image ClassificationFew-Shot Learning	CodeCode Available	1	5
Look-into-Object: Self-supervised Structure Modeling for Object Recognition	Mar 31, 2020	Fine-Grained Image ClassificationImage Recognition	CodeCode Available	1	5
DOCTOR: A Simple Method for Detecting Misclassification Errors	Jun 4, 2021	Object RecognitionSentiment Analysis	CodeCode Available	1	5
Matching the Neuronal Representations of V1 is Necessary to Improve Robustness in CNNs with V1-like Front-ends	Oct 16, 2023	Object Recognition	CodeCode Available	1	5
Dual-Hybrid Attention Network for Specular Highlight Removal	Jul 17, 2024	highlight removalObject Recognition	CodeCode Available	1	5

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All datasets shape bias CIFAR10-DVS N-Caltech 101 ObjectNet (All classes)ObjectNet (ImageNet classes)ObjectNet (ImageNet classes, trained on ImageNet)DVS128 Gesture MECCANO N-CARS

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	Imagen	shape bias	98.7	—	Unverified
2	Stable Diffusion	shape bias	92.7	—	Unverified
3	Parti	shape bias	91.7	—	Unverified
4	ViT-22B-384	shape bias	86.4	—	Unverified
5	ViT-22B-560	shape bias	83.8	—	Unverified
6	CLIP (ViT-B)	shape bias	79.9	—	Unverified
7	ViT-22B-224	shape bias	78	—	Unverified
8	ResNet-50 (L2 eps 5.0 adv trained)	shape bias	69.5	—	Unverified
9	ResNet-50 (with strong augmentations)	shape bias	62.2	—	Unverified
10	SWSL (ResNeXt-101)	shape bias	49.8	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Spike-VGG11	Accuracy (% )	85.55	—	Unverified
2	SSNN	Accuracy (% )	78.57	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Spike-VGG11	Accuracy (% )	85.62	—	Unverified
2	SSNN	Accuracy (% )	79.25	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ObjectNet-Baseline	Top 5 Accuracy	18.75	—	Unverified
2	yun	Top 5 Accuracy	14.75	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ObjectNet-Baseline	Top 5 Accuracy	52.24	—	Unverified
2	DY	Top 5 Accuracy	0.08	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ObjectNet-Baseline	Top 5 Accuracy	52.24	—	Unverified
2	AJ2021	Top 5 Accuracy	27.68	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SSNN	Accuracy (% )	94.91	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Faster-RCNN	mAP	30.39	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Spike-VGG11	Accuracy (% )	96	—	Unverified